Synapse workspace SHIR issue

Question

Hello Team,

We are using SHIR in synapse pipelines for data ingestion. Usually the data ingestion process would take 2+ hours to complete. But, recently the SHIR VM was restarted and after the restart the pipeline execution time is reduced to half (Its now taking about 1 hour to complete). PFB the screenshots.

Is there any particular reason for this behavior ? Do we need to plan to restart the SHIR VM on a regular basis for achieving optimal performance?

Regards,

Nagesh CL

Answer 1

Hi Nagesh CL,

Thanks for reaching out to Microsoft Q&A.

The observed reduction in pipeline execution time after restarting the SHIR vm can be attributed to several factors related to the performance of the VM and the integration runtime itself. Listed below are the possible reasons behind this behaviour.

1. Resource Reclamation: When the SHIR VM is restarted, it releases any accumulated resources (such as memory or CPU) that might have been tied up during prolonged execution. This resource reclamation could lead to better performance.
2. Cache and State Reset: Restarting the VM clears any cached data or state, which can sometimes improve performance. Cached data might have become stale or inefficient over time.
3. System Updates: The VM restart might have triggered system updates or patches that optimize performance. Regular restarts ensure that your system stays up-to-date.
4. Memory Leaks or Fragmentation: Long-running processes can sometimes suffer from memory leaks or fragmentation. Restarting the VM helps mitigate these issues.

Regarding regular restarts for optimal performance, it’s a common practice to periodically restart VMs or services to maintain stability and efficiency. However, it’s essential to strike a balance. Frequent restarts can disrupt ongoing processes and cause unnecessary downtime.

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